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학습 보조 어시스턴트

@ktwome

About 학습 보조 어시스턴트

학습 보조 웹 서비스

Basic information

Category

AI & Agents

Runtime

vue

Transports

stdio

Publisher

ktwome

Config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is 학습 보조 어시스턴트?

학습 보조 어시스턴트 is a PDF document analysis service that helps users learn. It converts PDFs to Markdown, performs RAG (Retrieval-Augmented Generation) on user questions, and generates practice problems by difficulty level. The server is built with FastAPI and Vue, and uses the EXAONE language model for content organization.

How to use 학습 보조 어시스턴트?

The server provides a web interface built with Vue and Vuetify. Users upload PDF files via the frontend, which are then converted to Markdown. Converted files are saved on the server and can be viewed in a history list. Planned features include core concept extraction, problem generation, chat, and RAG. No specific installation or configuration commands are provided in the README.

Key features of 학습 보조 어시스턴트

  • PDF upload and conversion to Markdown
  • RAG-based question answering (planned)
  • Problem generation by difficulty (planned)
  • EXAONE-assisted content organization
  • Saved conversion history and display
  • Core concept extraction (planned)

Use cases of 학습 보조 어시스턴트

  • Students uploading textbook PDFs for summarized Markdown notes
  • Self-study with automatically generated practice questions
  • Extracting key concepts from academic papers
  • Quick review of large PDF documents via structured Markdown

FAQ from 학습 보조 어시스턴트

What file formats are supported?

The server only supports PDF files for input.

Is this a web-based service?

Yes, it uses a FastAPI backend and a Vue frontend, accessible via a web browser.

What LLM is used for content organization?

The EXAONE model is used to organize content from each PDF page.

Are all listed features currently implemented?

Some features (RAG, problem generation, core concept extraction, chat) are listed as planned in the development history and may not be fully functional yet.

How are converted files stored?

Converted Markdown files are saved on the server and can be viewed in a list showing the PDF title and conversion time.

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